Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: preigu, Osnabrück, Alemania
EUR 53,25
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Arabic Hand Written Segmentation and Recognition | Muna K. Dhamad (u. a.) | Taschenbuch | 132 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659629570 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 170,62
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 61,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book illustrates the design an offline Arabic handwritten text recognition system using structural techniques and several proposed algorithms. The ultimate aim of handwriting recognition is to make computers able to understand human written texts, with a performance comparable to that of humans. The domain of handwriting in the Arabic script presents unique technical challenges. This is because a handwritten text offers great challenges such as character and word segmentation, character recognition, variation between handwriting styles, different character size. 132 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: moluna, Greven, Alemania
EUR 50,66
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K. Dhamad MunaMy name is Muna K. Dhamad graduated from computer science department/ college of science for women/ university of baghdad in 2007 and got master of science in computer science from college of science /university of bag.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 61,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book illustrates the design an offline Arabic handwritten text recognition system using structural techniques and several proposed algorithms. The ultimate aim of handwriting recognition is to make computers able to understand human written texts, with a performance comparable to that of humans. The domain of handwriting in the Arabic script presents unique technical challenges. This is because a handwritten text offers great challenges such as character and word segmentation, character recognition, variation between handwriting styles, different character size.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365962957X ISBN 13: 9783659629570
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 61,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book illustrates the design an offline Arabic handwritten text recognition system using structural techniques and several proposed algorithms. The ultimate aim of handwriting recognition is to make computers able to understand human written texts, with a performance comparable to that of humans. The domain of handwriting in the Arabic script presents unique technical challenges. This is because a handwritten text offers great challenges such as character and word segmentation, character recognition, variation between handwriting styles, different character size.